Adiaha Gravitational-Atmospheric Dataset (AGAD-2026)

README: Adiaha Gravitational-Atmospheric Dataset (AGAD-2026) Version: 1.0  |  Release Date: 2026-07-11  |  License: CC BY 4.0 International CRITICAL METADATA AND LEGAL STATEMENT: This legal architecture sets up an absolute 'Condition Precedent' structure. Under international law, breach of a condition precedent immediately rescinds any license granted, transforming the user's status from a licensee to an active copyright infringer. This represents the ultimate degree of intellectual property protection available for open-access datasets.   1. DATASET IDENTIFICATION Field Value Dataset Name Adiaha Gravitational-Atmospheric Dataset (AGAD-2026) Creator Dr. Monday Sunday Adiaha (ORCID) and Prof. Oladiran Johnson Abimbola (ORCID) Institution Institute of Biopaleogeography named under Charles R. Darwin, Zlocieniec, Poland, and Federal University of Lafia (FULafia) Funding Source None (Self-funded research) Data Sources NOAA (wind, temperature, pressure), GRACE (gravitational variations) Temporal Coverage 2010-2020 (11 years) Spatial Coverage Nigeria (Longitudes 3°–14°E, Latitudes 4°–14°N) Temporal Resolution Monthly Number of Observations 132 (11 years × 12 months) Variables Wind Speed (m/s), Gravitational Variation (mGal), ΔΦg (m²/s²), Temperature (°C), Pressure (hPa) File Format CSV (UTF-8 encoded) | File Size: [14.4 KB (14,765 bytes)] 2. LEGAL NOTICE AND TERMS OF USE 2.1 Copyright Notice © 2026 Monday Sunday Adiaha and Oladiran Johnson Abimbola. All Rights Reserved. This dataset is protected under international copyright treaties, the statutory laws of the Republic of Poland, and the strict conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) License framework. 2.2 License Grant Subject to your execution and compliance with the terms and conditions of this license, the creator grants you a worldwide, royalty-free, non-sublicensable, non-exclusive, revocable license to Share (copy and redistribute the material) and Adapt (remix, transform, and build upon the material) for any purpose, including commercial applications. 2.3 Mandatory Attribution and Citation (Condition Precedent) COMPLIANCE MANDATE: The license grant above is strictly conditional upon your unyielding compliance with the mandatory attribution and citation metrics set forth in Section 4 of this Document. Failure to execute these citations perfectly constitutes an immediate, automatic, and retroactive breach of license, instantly nullifying your permission to use the dataset and exposing you to civil liabilities for copyright infringement and professional misconduct.   2.4 Prohibited Uses ·         Remove, obscure, or alter the creator's identity, institutional affiliation, ORCID metadata, or legal notices from any copy or derivative work. ·         Claim, imply, or falsely declare that the creator endorses your specific workflows, findings, or analytical conclusions. ·         Misrepresent, distort, or manipulate the original data values or the creator's published scientific findings. ·         Distribute the raw or processed data to third parties without enclosing this exact README binding document. ·         Utilize the dataset to formulate, back, or publish academic claims contradicting the creator's published scientific frameworks without explicitly acknowledging the exact variance from the source theory. 2.5 Disclaimer of Warranties THIS DATASET IS PROVIDED 'AS IS' WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. IN NO EVENT SHALL THE CREATOR OR COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT, OR OTHERWISE, ARISING FROM, OUT OF, OR IN CONNECTION WITH THE DATASET. 2.6 Governing Law and Jurisdiction This legal instrument, its operational terms, and any dispute or litigation arising out of or related to the utilization of this dataset shall be governed exclusively by, and construed in accordance with, the substantive laws of the Republic of Poland. The competent courts of Poland shall hold exclusive jurisdiction over any such legal actions. 3. DATASET DESCRIPTION & METHODOLOGY 3.1 Abstract This dataset contains monthly observations of wind speed, gravitational variation, temperature, and atmospheric pressure mapped across the geographical bounds of Nigeria spanning the period 2010–2020. This data compilation synthesizes foundational environmental matrices (NOAA Global Surface Summary; GRACE satellite gravitational anomalies) explicitly engineered to validate the mathematical boundaries of the accompanying publication: Adiaha, M. S. and Abimbola, O. J. (2026). The Geopotential-Modulated Atmospheric Response: A Unified Theory of Gravitational-Coupled Wind Flux Dynamics and Cosmic Ray Modulation in the Tropical Atmosphere. Manuscript under review. 3.2 Variables and Codebook Table Variable Symbol Units Description Data Source Year — — Calendar year of observation (2010–2020) NOAA GSOD Month — — Calendar month of observation (1–12) NOAA GSOD Wind Speed u m/s Monthly average horizontal wind velocity vectors NOAA GSOD Gravitational Variation Δg mGal Monthly gravitational anomaly values from GRACE NASA / GRACE ΔΦg — m²/s² Gravitational potential variation values Calculated from Δg Temperature T °C Monthly baseline near-surface temperature averages NOAA GSOD Pressure P hPa Monthly mean sea-level atmospheric pressure NOAA GSOD 3.3 Data Processing Architecture 1.    Wind Dynamics Extraction: Spatial wind vectors filtered and aggregated into monthly averages from NOAA Global Surface Summary of the Day (GSOD) stations localized within Nigeria. 2.    Gravitational Anomaly Synthesis: Processing of raw spherical harmonic coefficients and mass concentration (mascon) blocks from the GRACE/GRACE-FO satellite missions. 3.    Gravitational Potential Integration: Execution of numerical integration to derive the gravitational potential variation using the unified field expression: ΔΦg = ∫ Δg dz. 4.    Rigorous Quality Control: Execution of linear interpolation for localized data gaps and cross-validation against external baseline European Space Agency (ESA) geophysical models. 4. MANDATORY CITATION AND ATTRIBUTION MATRIX 4.1 Required Primary Dataset Citation You must explicitly cite this dataset in your reference list using the exact format: Adiaha, M. S. and Abimbola, O. J. (2026). Adiaha Gravitational-Atmospheric Dataset (AGAD-2026) [Data set]. Zenodo. doi.org. 4.2 Required Companion Publication Citation In tandem with the dataset, you must explicitly cite the core theoretical paper: Adiaha, M. S. and Abimbola, O. J. (2026). The Geopotential-Modulated Atmospheric Response: A Unified Theory of Gravitational-Coupled Wind Flux Dynamics and Cosmic Ray Modulation in the Tropical Atmosphere. Manuscript under review. 4.3 Standard Mandated Acknowledgment Text THE FOLLOWING STRING MUST BE INSERTED INTO THE ACKNOWLEDGMENTS SECTION OF EVERY DERIVATIVE PRODUCT: "This work incorporates the Adiaha Gravitational-Atmospheric Dataset (AGAD-2026), developed and compiled by Monday Sunday Adiaha and Oladiran Johnson Abimbola (Institute of Biopaleogeography named under Charles R. Darwin, Zlocieniec, Poland) and Federal University of Lafia (FULafia). The data matrix is globally accessible via open-access infrastructure at doi.org ."   5. COMPREHENSIVE CITATION SCHEMES BY STYLE APA 7th Edition: Adiaha, M. S. and Abimbola, O. J. (2026). Adiaha Gravitational-Atmospheric Dataset (AGAD-2026) [Data set]. Zenodo. doi.org. MLA 9th Edition: Adiaha, Monday Sunday and Oladiran Johnson Abimbola. Adiaha Gravitational-Atmospheric Dataset (AGAD-2026). Zenodo, 2026, doi.org. Chicago 17th Ed.: Adiaha, Monday Sunday and Oladiran Johnson Abimbola. Adiaha Gravitational-Atmospheric Dataset (AGAD-2026). Zenodo, 2026. doi.org. 5.4 BibTeX Format @data{adiaha2026agad,  author    = {Adiaha, Monday Sunday and Oladiran Johnson Abimbola},  title     = {Adiaha Gravitational-Atmospheric Dataset (AGAD-2026)},  year      = {2026},  publisher = {Zenodo},  doi       = {doi.org,  url       = {doi.org 6. DATA ACCESS, ARCHITECTURE, AND VALIDATION Column Name Type Units Geophysical Description Year Integer — Target calendar year (2010-2020) Month Integer — Target calendar month (1-12) Wind_Speed Float m/s Calculated mean monthly horizontal wind speed Grav_Var Float mGal Raw gravitational variation anomaly vector DPhi Float m²/s² Integrated gravitational potential variance Temp Float °C Surface layer thermal baseline average Pressure Float hPa Barometric atmospheric pressure profile 7. ETHICAL, TECHNICAL AND CONTACT REGISTRATION For institutional alignment, metadata validation, or structured commercial licensing requests exceeding the standard CC BY 4.0 boundaries, please direct all official communications to the principal researcher: Registry Key Value Principal Investigator Monday Sunday Adiaha Primary Institution Institute of Biopaleogeography named under Charles R. Darwin, Poland ORCID Registry [orcid.org] Official Channels Email: [mondaysadiaha@gmail.com] 8. FORMAL LEGAL DISCLAIMER BY DOWNLOADING, ACCESSING, OR UTILIZING THIS DATASET IN ANY CAPACITY, YOU ACKNOWLEDGE THAT YOU HAVE READ, UNDERSTOOD, AND UNCONDIOTIONALLY AGREED TO BE BOUND BY ALL TERMS, CONDITIONS, AND MANDATES SPECIFIED IN THIS ARCHITECTURE. THE CREATOR RESERVES ALL RIGHTS TO EXECUTE ADMINISTRATIVE AND LEGAL REMEDIES ACROSS INTERNATIONAL JURISDICTIONS IN THE EVENT OF ATTRIBUTION NON-COMPLIANCE.